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dc.creatorAćimović, Milica
dc.creatorPezo, Lato
dc.creatorIvanović, Stefan
dc.creatorSimić, Katarina
dc.creatorLjujić, Jovana
dc.date.accessioned2023-12-28T20:25:59Z
dc.date.available2023-12-28T20:25:59Z
dc.date.issued2020
dc.identifier.issn2620-1895
dc.identifier.urihttps://cer.ihtm.bg.ac.rs/handle/123456789/7234
dc.description.abstractThe aim of this study was to predict the retention indices of chemical compounds found in the aerial parts of Origanum vulgare subsp. vulgare essential oil, obtained by hydrodistillation and analyzed by GC-MS. A total number of 28 compounds were detected in the essential oil. The compounds with the highest relative concentrations were germacrene D (21.5%), 1,8-cineole (14.2%), sabinene (14.0%) and trans-caryophyllene (13.4%). The retention time was predicted by using the quantitative structure–retention relationship, using seven molecular descriptors chosen by factor analysis and genetic algorithm. The chosen descriptors were mutually uncorrelated, and they were used to develop an artificial neural network model. A total number of 28 experimentally obtained retention indices (log RI) were used to set up a predictive quantitative structure-retention relationship model. The coefficient of determination for the training cycle was 0.998, indicating that this model could be used for predicting retention indices for O. vulgare subsp. vulgare essential oil compounds.sr
dc.language.isoensr
dc.publisherNiš, Serbia : Department of Chemistry, Faculty of Sciences and Mathematics, University of Nišsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200032/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceChemia Naissensissr
dc.subjectoreganosr
dc.subjectessential oilsr
dc.subjecthydrodistillationsr
dc.subjectGC-MSsr
dc.subjectQSSRsr
dc.subjectANNsr
dc.titleEssential oil profile of Origanum vulgare subsp. vulgare native population from Rtanj via chemometrics toolssr
dc.typearticlesr
dc.rights.licenseBYsr
dc.citation.volume3
dc.citation.issue2
dc.citation.spage100
dc.citation.epage112
dc.citation.rankM53
dc.identifier.doi10.46793/ChemN3.2.100A
dc.identifier.fulltexthttp://cer.ihtm.bg.ac.rs/bitstream/id/29086/bitstream_29086.pdf
dc.type.versionpublishedVersionsr


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